Name: Regional Arctic System Model
Funding: Department of Energy: DE-SC0006856;
Collaborators: Bart Nijssen (UW); Joe Hamman (UW); Diana Gergel (UW); Wieslaw Maslowski (NPS); John Cassano (UC Boulder); Alice DuVivier (UC Boulder); Mimi Hughes (UC Boulder); Bill Gutowski (ISU); Brandon Fisel (ISU); Xubin Zeng (UA); Michael Brunke (UA); Robert Osinski (PIO); Tony Craig (NPS);
Summary: The Regional Arctic System Model (RASM) is a high resolution, regional, coupled climate model applied over the pan-Arctic domain.
The Regional Arctic System Model (RASM) is a high resolution, regional, coupled atmosphere - land - sea ice - ocean model that uses the Community Earth System Model (CESM) coupling infrastructure (CPL7) over a Pan-Arctic domain. RASM is composed of five model components:
RASM is a collaborative project involving PIs from eight institutions: Naval Postgraduate School, University of Arizona, University of Colorado at Boulder, University of California, Santa Cruz, University of Texas at El Paso, University of Washington, Iowa State University, and Los Alamos National Laboratory. This project is developing a regional Arctic System model for enhanced decadal predictions. It builds on successful research by four of the current PIs with support from the DOE Climate Change Prediction Program, which has resulted in the development of a fully coupled Regional Arctic Climate Model (RACM) consisting of atmosphere, land-hydrology, ocean and sea ice components. An expanded RACM, a Regional Arctic System Model (RASM) is currently under development.
At the University of Washington, we are developing the land surface (the Variable Infiltration Capacity model) and streamflow routing (RVIC Streamflow Routing Model) components in RASM. We are working on improving the representation of physical processes such as coastal freshwater runoff, permafrost, evapotranspiration, and snow accumulation and ablation.
Brunke, M., J. Cassano, N. Dawson, A. DuVivier, W. Gutowski, J. Hamman, J., W. Maslowski, B. Nijssen, J. Renteria, A. Roberts, and X. Zeng, 2017: Evaluating the atmosphere-land-ocean-sea ice interface processes in the Regional Arctic System Model version 1.0 (RASM1) using local and globally gridded observations. Journal of Climate, in review.
Cassano, J., A. DuVivier, A. Roberts, M. Hughes, M. Seefeldt, M. Brunke, A. Craig, B. Fisel, W. Gutowski, J. Hamman, M. Higgins, W. Maslowski, B. Nijssen, R. Osinski, X. Zeng, 2017: Near surface atmospheric climate of the Regional Arctic System Model (RASM). Journal of Climate, doi:10.1175/JCLI-D-15-0775.1.
Hamman, J., B. Nijssen, A. Roberts, A. Craig, W. Maslowski, and R. Osinski, 2017: The coastal streamflow flux in the Regional Arctic System Model. Journal of Geophysical Research: Oceans, doi:10.1002/2016JC012323.
Hamman, J., B. Nijssen, M. Brunke, J. Cassano, A. Craig, A. DuVivier, M. Hughes, D. P. Lettenmaier, W. Maslowski, R. Osinski, A. Roberts, and X. Zeng, 2016: The land surface climate in the Regional Arctic System Model. Journal of Climate, doi:10.1175/JCLI-D-15-0415.1.
DuVivier, A.K., J. Cassano, A. Craig, J. Hamman, W. Maslowski, B. Nijssen, R. Osinski, and A. Roberts, 2016: Winter atmospheric buoyancy forcing and oceanic response during strong wind events around southeastern Greenland in the Regional Arctic System Model (RASM) for 1990-2010. Journal of Climate, doi:10.1175/JCLI-D-15-0592.1.
Roberts, A., A. Craig, W. Maslowski, R. Osinski, A. DuVivier, M. Hughes, B. Nijssen, J. Cassano, and M. Brunke, 2015: Simulating transient ice–ocean Ekman transport in the Regional Arctic System Model and Community Earth System Model. Annals of Glaciology, doi:10.3189/2015AoG69A760.